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Object-based information storage, search and mining system method

a technology of information storage and object-based information, applied in multimedia data retrieval, instruments, computing, etc., can solve the problems of ineffective search methods, inability to arrange or sort media objects in the disorder of the world wide web, and inability to search for non-text media objects. to achieve the effect of effectively representing, searching and manipulating multimedia objects

Inactive Publication Date: 2006-06-22
LEE TSU CHANG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0011] The present invention provides a method to effectively represent, search, and manipulate multimedia objects through a group of interconnected multimedia search agents functioning logically on an interconnected multimedia storage network.
[0012] A first aspect of the invention is directed to a multimedia object mining agent (MOM), which can search for multimedia objects in a distributed multimedia data reservoir effectively to produce the results to satisfy certain content based multimedia queries.

Problems solved by technology

It is difficult to search for non-text media objects, like video, image, and audio, which are more targeted for human consumption.
There is no current effective method to arrange or sort media objects available in the disorder of the World Wide Web, or to construct an ordered media storage and media storage network structure based on the multimedia data content itself.
Most, if not all, of the current search engines available today utilize fixed search criteria and cannot tailor or adjust to the requester's individual tastes or measures.
The techniques and systems used in prior art systems are therefore optimized for, if not dedicated to, text-based searching, which limits their effectiveness for searching objects which are not text-based.
However, the reduction of media objects to a set of metadata, as used by conventional systems, necessarily eliminates large amounts of the most useful data and therefore can often yield an unsatisfactory search result.

Method used

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Examples

Experimental program
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example 1

ILLUSTRATIVE EXAMPLE 1

Image Data Base

[0179]FIG. 22 shows an embodiment of this invention in an n-dimensional image data base applications (e.g., 2-D pictures, 3-D CT images in medical images, etc.). This embodiment also illustrates the application of some of the structures and methods taught in the present invention.

[0180] An image write query is typically presented through query bus 22017 to the query object mapper 22003. A database query buffer 22009 converts the image query into object form and a feature vector of the image query is extracted through query feature extractor 22010. The query objects are typically organized on the database query map 22008 according to the feature vector extracted. The input object may be sent through input object bus 22023 to the image database processor 22004 and an object searcher / estimator 22014 typically searches the database object map 22011 to find the closest (measured by relative operational entropy between objects defined earlier) object...

example 2

ILLUSTRATIVE EXAMPLE 2

Data Security

[0208] Referring now to FIG. 24, an exemplary embodiment is depicted in which a common data storage and a topological map provide data security. In this example, a data transmitter 24003 transmits data through an unsecured channel 24009 to a data receiver process 24004. The data transmitter 24003 and data receiver 24004 may include a combination of computing devices and software processes. In embodiments of the invention, the transmitter and the receiver include similarly configured data storage that have topological maps of a generally consistent organization. Consequently, data may be securely transmitted by implementing a “delta transmission process” as described immediately hereafter.

[0209] On the transmission side, transmission data 24010 is provided to enable retrieval of closest matching reference data 24016 obtained from a common data storage 24007. A calculated difference (delta difference) 24017 between the transmission data 24010 and t...

example 3

ILLUSTRATIVE EXAMPLE 3

Media Contents Push and Pull Agents

[0211] An exemplary embodiment is presented in FIG. 25 that may be used to implement media content push and pull agents. A MOMNET 25017 includes a plurality of MOMs that may be used as push and pull agents for media content on a public MOSNET such as the Internet.

[0212] In push applications, a first MOM 25001 pushes queries and results to multimedia content consumers. This mode of operation may be characterized as an up-stream linking process from the QOM 24 (see FIG. 2) into the up-stream users or agents.

[0213] In the exemplary embodiment, of FIG. 25, the first MOM 25001 may be a media content service agent that can push media content to up-stream MOMs 25002, and 25003, which are personal agents for user 25018 and user group 25019 respectively. In this type of push application, queries and associated data may be delivered to the users before the queries are presented. The associated information may include query results, t...

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PUM

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Abstract

The patent application taught an object based information storage, search and mining system and method, which can store, retrieve, and mine massively amount of object data efficiently. A first embodiment includes an object based search engine which can organize and identify the objects efficiently from the search space based on certain operational measure quantifying the search objectives. A second embodiment includes an operational measure estimator which can adaptively adjust or reconfigure itself to improve the accuracy of the estimation. A third embodiment includes a method for mapping objects onto a topological maps to enable identifying objects rapidly from the search space according to certain measures for search objectives. A forth embodiment includes a method for conducting object based search through mapping query objects and search objects onto topological maps and searching effectively through the maps based on certain operational measures.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application claims priority to U.S. provisional patent application Ser. No. 60 / 638,929, filed on Dec. 22, 2004, entitled “OBJECT-BASED INFORMATION STORAGE, SEARCH AND MINING SYSTEM AND METHOD”, which is hereby incorporated by reference into the present application. [0002] This application claims the benefit of: [0003] U.S. utility patent application Ser. No. 10 / 867,447, filed on Jun. 14, 2004, entitled “METHOD AND APPARATUS FOR ADAPTIVE MULTIPLE-DIMENSIONAL SIGNAL SEQUENCES ENCODING / DECODING”; and [0004] U.S. utility patent application Ser. No. 10 / 867,027, filed on Jun. 14, 2004, entitled “MEMORY AND ARRAY PROCESSOR STRUCTURE FOR MULTIPLE-DIMENSIONAL SIGNAL PROCESSING”, [0005] Wherein Ser. No. 10 / 867,447 and Ser. No. 10 / 867,027 each claim priority to U.S. provisional patent application Ser. No. 60 / 480,985, filed on Jun. 23, 2003, entitled “METHOD AND APPARATUS FOR ADAPTIVE MULTIPLE-DIMENSIONAL SIGNAL SEQUENCES ENCODING / DECODING,” a...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F17/3002G06F17/30256G06F17/30867G06F17/30539G06F16/2465G06F16/41G06F16/5838G06F16/9535
Inventor LEE, TSU-CHANG
Owner LEE TSU CHANG
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